Policy Optimization in Reinforcement Learning: PPO and GRPO
Exploring policy optimization algorithms in reinforcement learning, including PPO and GRPO, with insights from recent advances in LLM development.
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AI Researcher & Mathematician
Exploring the intersection of artificial intelligence, machine learning, and mathematical foundations
Thoughts on AI, mathematics, and technology
Exploring policy optimization algorithms in reinforcement learning, including PPO and GRPO, with insights from recent advances in LLM development.
Read moreA comprehensive introduction to decision trees, covering fundamentals and popular ensemble methods like Random Forests and Gradient Boosting.
Read moreLearn the fundamentals of backtracking algorithms with practical examples and a reusable code template for solving complex search problems.
Read moreWhat I'm passionate about
Deep learning architectures, neural networks, and intelligent systems that learn from data
Language models, text generation, and understanding human communication through AI
Theoretical underpinnings of AI, including algebra, geometry, and representation theory
I'm always interested in discussing AI research, mathematical ideas, or potential collaborations